{"id":"W3105187842","doi":"10.1038/s41598-020-76588-z","title":"The dynamics of plant nutation","year":2020,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Plant and Biological Electrophysiology Studies","field":"Agricultural and Biological Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Office of Naval Research Global; Office of Naval Research","keywords":"Nutation; Climb; Predictability; Dynamics (music); Computer science; Kinematics; Enhanced Data Rates for GSM Evolution; Range (aeronautics); Phaseolus; Biological system; Bending; Artificial intelligence; Physics; Biology; Aerospace engineering; Engineering; Classical mechanics; Structural engineering; Botany; Acoustics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002329655,0.00005236143,0.00009082576,0.000002093589,0.0003793335,0.00003585254,0.0001078987,0.00003140287,0.00002016273],"category_scores_gemma":[0.0001416622,0.0000126113,0.00004964065,0.0002315429,0.000234317,0.00002508079,0.00004779181,0.00004816022,0.000005756684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005280956,"about_ca_system_score_gemma":0.000005402116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001209896,"about_ca_topic_score_gemma":0.0001832633,"domain_scores_codex":[0.9992961,0.00002795654,0.0001889364,0.0002184862,0.0001280307,0.000140439],"domain_scores_gemma":[0.9996168,0.0001193423,0.0001391148,0.00003579523,0.00005228183,0.00003664783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003455114,0.00001951305,0.004231372,0.000002664186,0.00001299671,0.00002529343,0.00004665004,0.000004343517,0.9590082,0.0009827898,0.01071579,0.02491589],"study_design_scores_gemma":[0.0002227849,0.00300903,0.2332006,0.00003912504,0.00007077494,0.0002087138,0.002319768,0.0080176,0.1453619,0.09772272,0.50893,0.0008969216],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952257,0.0001379577,0.000002445699,0.00366878,0.0005004858,0.00008901941,0.0000195226,0.00002620543,0.0003298782],"genre_scores_gemma":[0.99946,0.00002437996,0.00001014057,0.00007443011,0.00005605106,0.000003408999,0.0001977702,1.394322e-7,0.0001736375],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8136462,"threshold_uncertainty_score":0.2917565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01825496252030393,"score_gpt":0.1923080682076007,"score_spread":0.1740531056872967,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}